FMRT with standard 1.5 T scanners requires adapted algorithms because
the time course of intensity signal showed a non-linearity of the base
line, The protocol contains sequential images covering periods of rest
followed periods of stimulation, The images of each period of rest an
d stimulation were averaged, offering a series of averaged images. Fro
m this series, we conserved only the pixels which presented the altern
ated variations corresponding to the temporal pattern of the paradigm.
A colour scale was used to present the average percentage of variatio
ns of each pixel selected. We have performed activation paradigms with
a classical motor protocol. This simple ''follow-up'' method appears
effective for the identification of activated areas. (C) 1997 Elsevier
Science Ltd.